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AI Features

Reindex Objects

Explore how to reindex Series and DataFrame objects in Pandas to add or rearrange indexes and columns. Learn how to handle missing values with forward filling techniques along rows or columns to maintain data integrity in predictive analysis.

Re-indexing #

This method allows for adding new indexes and columns in Series and DataFrames without disturbing the initial setting of the objects. The following illustration might make it clear.

The value of the index C in the last slide of the illustration is automatically set to NaN because no value was defined to it.

Note: Re-indexing rules are the same for both Series and DataFrame objects.

The function used for this purpose is reindex(). It is called by a Series or a DataFrame object, and a list of indexes is passed as a parameter.

Re-indexing in Series

Let’s take the same example from the ...